Oracle Automation & AI — A Leadership Guide

Make the investment decision — without becoming a technical expert. What Oracle's native AI and automation capabilities actually do, what they require to work, and how to build a credible activation roadmap that delivers real results. 6 hrs · 2 sessions · Intermediate. Overview Oracle has embedded significant AI and automation capability into Fusion Cloud. Most of it is inactive on most implementations. Not because organisations have decided not to use it, but because no one in the organisation has a clear enough understanding of what is actually there, what it requires to function, and how to sequence the activation for the capabilities to work reliably. Leadership hears "Oracle has AI" from the sales team; the IT team discovers the prerequisites when trying to activate it; and the gap between the promise and the reality erodes confidence in both the technology and the vendor. This course gives leaders the specific, practical knowledge they need to make sound Oracle AI investment and activation decisions: what the capabilities are (precisely, not in marketing language), what data quality and configuration prerequisites each one requires, which capabilities are genuinely valuable in the African and Middle East business context, and how to build an activation roadmap that sequences correctly and delivers measurable results. It also teaches how to evaluate Oracle AI claims critically — distinguishing genuine capability from feature marketing. Learning outcomes • Understand what Oracle's native AI and automation capabilities specifically do — in plain language • Know the data quality and configuration prerequisites each capability requires to function reliably • Distinguish between Oracle AI capabilities that are genuinely valuable and those that are primarily marketing • Build a credible Oracle automation roadmap sequenced by complexity and prerequisite readiness • Calculate the ROI of specific Oracle automation scenarios in your organisation's context • Ask the right questions of Oracle and your SI about AI activation — and evaluate the answers critically Prerequisites • No Oracle technical knowledge required — this is specifically designed for non-technical leaders • Data Governance & Data Quality course is a recommended complement — AI requires clean data • Most valuable for organisations live on Oracle Fusion Cloud Modules 1. What Oracle AI actually is, what it needs & what it can do (3 hours) The Oracle AI landscape for leaders: what is embedded AI in Fusion Cloud (and what it is not — it is not OCI, not a separate product, not a bolt-on). The AI capabilities by functional area — Finance: invoice matching AI agents, anomaly detection in AP and GL, three-way match automation, cash flow prediction; HCM: candidate ranking, attrition risk prediction, payroll exception identification, absence pattern analysis; SCM: demand forecasting, supplier risk scoring, inventory optimisation signals; Analytics: OTBI natural language query, OAC generative summaries, anomaly highlighting in dashboards. What each capability actually does in plain language — not what Oracle says it does, but what it does in a live Fusion implementation that has the prerequisites in place. The prerequisites no one mentions in the sales pitch: the specific data quality thresholds, the configuration completeness requirements, the adoption levels, and the Oracle Cloud release versions required for each capability to function reliably. Why AI does not work on most Oracle Fusion instances — and what needs to happen first. Topics: Embedded AI vs OCI vs add-on; Finance AI capabilities; HCM AI capabilities; SCM AI capabilities; Analytics AI capabilities; Actual vs marketed functionality; Data quality prerequisites; Configuration prerequisites; Adoption prerequisites; Release version requirements 2. The automation roadmap, ROI calculation & the vendor conversation (3 hours) Automation versus AI — knowing the difference matters for investment decisions and expectation management: rules-based automation (workflow, scheduled processes, FBDI), machine learning-based AI (anomaly detection, prediction), and generative AI (summaries, natural language). Building the Oracle automation roadmap: quick wins available in 3–6 months (workflow automation, scheduled reporting, approval routing optimisation), medium-term automation in 6–18 months (invoice matching, three-way match, payroll exception management), and AI-enabled capabilities in 18+ months (prediction, natural language, anomaly detection at scale). ROI calculation for specific Oracle automation scenarios: how to model the value of invoice matching automation for a 10,000-invoice-per-month AP function, or payroll exception management for a 2,000-employee payroll. The maturity model: where does your organisation sit — data quality, configuration quality, adoption level — and what is the realistic next step? How to have a productive conversation with Oracle and your SI about AI activation: the specific questions to ask, what a capable answer looks like, and what an evasive answer reveals. The questions your board should be able to ask when approving Oracle AI investment. Topics: Automation vs AI distinction; Rules-based automation; ML-based AI; Generative AI; Automation roadmap phases; Quick wins identification; ROI modelling; Invoice matching value calculation; Maturity model assessment; Oracle AI conversation questions; Board approval criteria Delivery Designed for a senior leadership audience who need to make informed decisions about Oracle AI investment without becoming technical. Delivered as a facilitator-led session with real Oracle Fusion AI demonstration scenarios. Most effective when the IT director and the CFO or COO attend together — the investment decision requires both technical and commercial alignment. Certification Certificate of completion Price USD 950 · per participant per person · indicative · group pricing available HRDC eligibility Up to 75% refundable Mauritius-registered employers may claim this training via the HRDC levy. We provide full documentation to support your claim. Languages English Provider reference SIMPLIT-063-ORACLE_AUTOMATION_AI_LEADERSHIP

• Executive sponsors and CIOs evaluating Oracle AI investment decisions • IT directors responsible for Oracle AI activation and automation roadmaps • Finance directors whose Oracle-supported processes could be automated • Digital transformation directors building the Oracle automation business case • Board members asked to approve Oracle AI investment without technical background • Any leader who has received an Oracle AI sales presentation and wants to evaluate it critically